The occupiers' burden: tackling food shortage and related health problems in post-war Germany 1945-47

The end of the Second World War brought much relief to its combatants, but a range of problems remained that would plague post-war Europe for years to come. Chief among them was food shortage. The breakdown of agricultural systems, essential services, and the state itself laid fertile ground for food shortage to develop in parts of post-war Germany occupied by the victorious powers. There is much to be gained from comparing the occupiers’ responses to this Horseman of the Apocalypse. The most fruitful comparison lies between the Soviets and British. Unlike the Americans whose economic might in the post-war period allowed them to better feed and supply Germans living in their occupation zone, domestic economic weaknesses hamstrung both Soviet and British responses to the more severe advent of food shortage which confronted them. Their responses were very different—some successful, others not—but all instructive for understanding the impacts of natural and policy factors on the development of food shortage and the consequences to the health of the population. The variety of these impacts have been obscured by the absence of this comparison in the literature, which is now made more feasible by the greater availability of the extensive resources that each occupier devoted to recording food and health data, particularly in the Soviet case. The data is not only relevant to the occupation period from 1945 to 1949, as it suggests long-term health impacts on those most exposed to the risk of food shortage then, and most at risk to the consequences of malnutrition decades later. In fact, as the available data defines regional differences in food rations and, accordingly, comparative food shortages in Soviet and British occupation zones, the situation in post-war Germany provides an excellent platform for future research linking differences in early nutrition to adult health outcomes.

Unhealthy food, integrated marketing communication and power: a critical analysis

Public health advocates have repeatedly highlighted parallels between food marketing and childhood obesity. Yet existing literature has not explored the connection between the promotion of unhealthy foods and beverages, certain characteristics of integrated marketing communication (IMC) and the power of multinational food and beverage companies. This is problematic because IMC represents the dominant marketing paradigm in use today. This article draws on critical theory and literature from across public health, marketing, business and related fields. By focusing on macro-level antecedents and interactions, this discussion highlights a previously unarticulated dimension of the promotion of unhealthy foods and beverages to children and adolescents. In doing so, this discussion aims to generate greater recognition of the broader environmental circumstances and processes that surround food marketing tactics and their consequences for public health nutrition. This perspective will also contribute to an expanded understanding of unhealthy food marketing and its unintended consequences, among an audience of nutrition, public health and policy communities.

Parents' food choice motives and their associations with children's food preferences

Objective The objective was to investigate parents' motives for selecting foods for their children and the associations between these motives and children's food preferences. Design Cross-sectional survey. A modified version of the Food Choice Questionnaire was used to assess parents' food choice motives. Parents also reported children's liking/disliking of 176 food and beverage items on 5-point Likert scales. Patterns of food choice motives were examined with exploratory principal component analysis. Associations between motives and children's food preferences were assessed with linear regression while one-way and two-way ANOVA were used to test for sociodemographic differences. Setting Two Australian cities. Subjects Parents (n 371) of 2-5-year-old children. Results Health, nutrition and taste were key motivators for parents, whereas price, political concerns and advertising were among the motives considered least important. The more parents' food choice for their children was driven by what their children wanted, the less children liked vegetables (β =-0·27, P<0·01), fruit (β=-0·19, P<0·01) and cereals (β=-0·28, P<0·01) and the higher the number of untried foods (r=0·17, P<0·01). The reverse was found for parents' focus on natural/ethical motives (vegetables β=0·17, P<0·01; fruit β=0·17, P<0·01; cereals β=0·14, P=0·01). Health and nutrition motives bordered on statistical significance as predictors of children's fruit and vegetable preferences. Conclusions Although parents appear well intentioned in their motives for selecting children's foods, there are gaps to be addressed in the nature of such motives (e.g. selecting foods in line with the child's desires) or the translation of health motives into healthy food choices.

Responsiveness to psychological stress and food intake : the influence of adiposity in men and physical activity in women

Hyperactivity of the stress pathways can cause diseases. This research concludes that levels of adiposity and physical activity status does not influence physiological responsiveness to psychological stress. Nevertheless, stress pathway activity in response to food intake can be influenced by increased adiposity but not by increased levels of physical activity.

Reducing the risk of heart disease among Indian Australians: knowledge, attitudes, and beliefs regarding food practices - a focus group study

BACKGROUND: Australia has a growing number of Asian Indian immigrants. Unfortunately, this population has an increased risk for coronary heart disease (CHD). Dietary adherence is an important strategy in reducing risk for CHD. This study aimed to gain greater understanding of the knowledge, attitudes and beliefs relating to food practices in Asian Indian Australians. METHODS: Two focus groups with six participants in each were recruited using a convenience sampling technique. Verbatim transcriptions were made and thematic content analysis undertaken. RESULTS: Four main themes that emerged from the data included: migration as a pervasive factor for diet and health; importance of food in maintaining the social fabric; knowledge and understanding of health and diet; and elements of effective interventions. DISCUSSION: Diet is a complex constructed factor in how people express themselves individually, in families and communities. There are many interconnected factors influencing diet choice that goes beyond culture and religion to include migration and acculturation. CONCLUSIONS: Food and associated behaviors are an important aspect of the social fabric. Entrenched and inherent knowledge, attitudes, beliefs and traditions frame individuals' point of reference around food and recommendations for an optimal diet.

Child and adolescent obesity: part of a bigger picture

The prevalence of childhood overweight and obesity has risen substantially worldwide in less than one generation. In the USA, the average weight of a child has risen by more than 5 kg within three decades, to a point where a third of the country's children are overweight or obese. Some low-income and middle-income countries have reported similar or more rapid rises in child obesity, despite continuing high levels of undernutrition. Nutrition policies to tackle child obesity need to promote healthy growth and household nutrition security and protect children from inducements to be inactive or to overconsume foods of poor nutritional quality. The promotion of energy-rich and nutrient-poor products will encourage rapid weight gain in early childhood and exacerbate risk factors for chronic disease in all children, especially those showing poor linear growth. Whereas much public health effort has been expended to restrict the adverse marketing of breastmilk substitutes, similar effort now needs to be expanded and strengthened to protect older children from increasingly sophisticated marketing of sedentary activities and energy-dense, nutrient-poor foods and beverages. To meet this challenge, the governance of food supply and food markets should be improved and commercial activities subordinated to protect and promote children's health.

Fusing data mining, machine learning and traditional statistics to detect biomarkers associated with depression

BACKGROUND: Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to identify key biomarkers associated with depression from a large epidemiological study.

METHODS: The study used a three-step methodology amalgamating multiple imputation, a machine learning boosted regression algorithm and logistic regression, to identify key biomarkers associated with depression in the National Health and Nutrition Examination Study (2009-2010). Depression was measured using the Patient Health Questionnaire-9 and 67 biomarkers were analysed. Covariates in this study included gender, age, race, smoking, food security, Poverty Income Ratio, Body Mass Index, physical activity, alcohol use, medical conditions and medications. The final imputed weighted multiple logistic regression model included possible confounders and moderators.

RESULTS: After the creation of 20 imputation data sets from multiple chained regression sequences, machine learning boosted regression initially identified 21 biomarkers associated with depression. Using traditional logistic regression methods, including controlling for possible confounders and moderators, a final set of three biomarkers were selected. The final three biomarkers from the novel hybrid variable selection methodology were red cell distribution width (OR 1.15; 95% CI 1.01, 1.30), serum glucose (OR 1.01; 95% CI 1.00, 1.01) and total bilirubin (OR 0.12; 95% CI 0.05, 0.28). Significant interactions were found between total bilirubin with Mexican American/Hispanic group (p = 0.016), and current smokers (p<0.001).

CONCLUSION: The systematic use of a hybrid methodology for variable selection, fusing data mining techniques using a machine learning algorithm with traditional statistical modelling, accounted for missing data and complex survey sampling methodology and was demonstrated to be a useful tool for detecting three biomarkers associated with depression for future hypothesis generation: red cell distribution width, serum glucose and total bilirubin.